Core Viewpoint - The launch of the Changan Kaicheng V919 marks a significant step for Changan Automobile as it introduces its first new energy commercial vehicle under the new central enterprise initiative, highlighting the company's commitment to the electric vehicle market and its strategic transformation towards smart and digital commercial vehicles [1][3]. Group 1: Product Features - The V919 is the world's first pure electric rear-drive wide-body light commercial vehicle, featuring a cargo box length of 3.38 meters and a cargo space of 10.3 cubic meters, making it highly efficient for logistics [3]. - It is equipped with a 3.5t pure electric rear-drive platform, delivering a peak power of 110 kW and an effective load capacity of 1.5 tons, with a low energy consumption of 16.5 kWh per 100 kilometers [3]. - The vehicle utilizes CATL batteries, offering a range of 470 kilometers under CLTC conditions, and features fast charging capabilities that allow the battery to charge from 30% to 80% in just 30 minutes [3]. Group 2: Market Performance - Changan Automobile achieved a record high sales volume of 1.355 million units in the first half of the year, with 450,000 units in new energy sales, representing a year-on-year growth of 48.8% [1]. - The Changan Kaicheng brand has dominated the new energy microbus market for five consecutive months, indicating strong market demand and competitive positioning [1]. Group 3: Strategic Vision - Changan Automobile aims to transform Changan Kaicheng into a world-class commercial vehicle brand by leveraging support in funding, technology, and talent, while capitalizing on opportunities presented by the new central enterprise initiative [1]. - The V919 is positioned to enhance user profitability through its advantages in space, load capacity, and operational efficiency, aligning with the growing demand for electric light commercial vehicles in the global market [1].

Core Points - The Ministry of Science and Technology has announced the revised "Implementation Rules for National Science and Technology Awards," which will take effect on June 27, 2025, marking the third revision since its initial release in 1999 [1] - The revisions aim to align with new directives from the central government regarding science and technology awards, reflecting the need for updates based on practical experiences and current conditions [2] Group 1 - The revised rules emphasize adherence to national strategic needs and long-term technological development plans, focusing on rewarding contributions in basic research, applied research, and key core technology breakthroughs [2][3] - The frequency of award evaluations has been set to every two years, with a cap of 300 total projects awarded per evaluation cycle for the National Natural Science Award, National Technology Invention Award, and National Science and Technology Progress Award [2] Group 2 - The optimization of the nomination and evaluation mechanism is a significant highlight, with six specific arrangements made to enhance the process, including the implementation of a nomination system and the establishment of a credibility management mechanism for review committees [3] - A research integrity review system will be instituted to ensure fairness in the nomination and evaluation processes, with strict penalties for any violations that could compromise the integrity of the awards [3]

Core Insights - Swiss Federal Institute of Technology in Lausanne (EPFL) scientists have developed a novel biosensor that operates without an external light source, leveraging quantum effects, which addresses a significant barrier in photonic biosensing technology for medical diagnostics and environmental monitoring [1][2] Group 1: Technology Development - The new biosensor utilizes non-elastic electron tunneling, allowing electrons to pass through a thin insulating layer and emit photons, enhancing detection capabilities without the need for complex external optical equipment [1][2] - The sensor's structure consists of a thin aluminum oxide insulating layer and an ultra-thin gold layer, where electrons, under applied voltage, excite collective electronic oscillations known as "plasmons," resulting in photon generation [2] Group 2: Applications and Implications - This breakthrough simplifies the structure of photonic biosensors and opens new possibilities for applications in resource-limited areas or where portable devices are needed, such as home health monitoring, disease screening in remote areas, and rapid identification of environmental pollutants [2] - The quantum physics-based, light-source-free biosensing technology is expected to drive the development of the next generation of miniaturized, high-performance biosensing devices [2]

Core Insights - The 18th SNEC Photovoltaic Exhibition highlights the ongoing deep restructuring of the photovoltaic industry, with a consensus among participants on the need for innovation and collaboration to drive development [1][2] - The Chinese photovoltaic industry has evolved from a follower to a global leader over the past 20 years, now accounting for over 80% of global capacity and output across all segments of the industry chain by 2025 [1] - Despite challenges such as overcapacity and international trade barriers, industry professionals remain optimistic about future growth, with many companies reporting plans for diversification and technological advancements [2][3] Industry Overview - The exhibition covered nearly 400,000 square meters and attracted over 50,000 visitors from more than 90 countries, with 3,500 companies participating, including 30% international exhibitors [2] - Many companies are focusing on retaining talent and investing in new product development to prepare for future market opportunities, with some expecting revenue growth of 50% to 60% this year [2] - The industry is experiencing structural differentiation, with companies exploring new niche markets and forming alliances to enhance competitiveness [3] Future Outlook - The event featured over 20 parallel forums aimed at promoting healthy competition and development within the industry, emphasizing the importance of international collaboration in building a clean, low-carbon, and efficient modern energy system [3]

Group 1 - Tsinghua University is guiding students to integrate personal aspirations with national needs through innovative employment services [1][2] - The "1+N" employment service model includes a core job fair complemented by various activities such as alumni forums and industry lectures, helping students make informed career choices [1][2] - The university emphasizes the importance of matching students with high-demand sectors, facilitating direct engagement with key industries [2][3] Group 2 - Tsinghua University has established strategic partnerships with over 10 key defense technology companies to enhance talent cooperation [2] - The university organizes practical employment experiences, with nearly 600 graduates participating annually, resulting in an overall employment conversion rate of nearly 20% [2] - In the past five years, over 2,300 graduates have entered the manufacturing and energy sectors, with employment rates exceeding 80% in these fields [3]

此前，科学界普遍认为感知蛋白质加工和处理的"传感器"——蛋白激酶R样内质网激酶（以下简 称"PERK"）主要通过诱导细胞凋亡（一种受程序控制的细胞死亡方式）来剔除损伤的造血干细胞，但 对PERK在造血干细胞中的其他作用并不清楚。研究团队建立了一种模拟体内"温和压力"的动物模型， 可精确模拟蛋白质处理系统功能受损时造血干细胞所面临的真实环境。 研究发现，在这种"温和压力"条件下，细胞中蛋白质处理系统出现障碍时，PERK不是简单地启动 受损细胞的"自毁"程序，而是激活了一条促进细胞增殖和分化的信号通路，让那些蛋白质处理系统发生 障碍的造血干细胞个体无法继续维持它们的干细胞特征，并以"增殖和分化"的方式从造血干细胞群体中 被清除。此外，通过研究，团队进一步证明了这种调控作用依赖PERK的激酶活性，这与科研界普遍公 认的"自毁"程序大不相同。 科技日报讯 （记者俞慧友）6月26日，记者从湖南大学获悉，该校生命医学交叉研究院教授刘禄团 队联合密歇根大学教授李清团队，揭示了一种新的人体干细胞"保全"机制：在蛋白质稳态受损的压力 下，人体造血干细胞可通过启动增殖和分化程序来"保全"干细胞群体的质量，而非传统观点中认为 的" ...

Core Insights - The research conducted by the team led by Yao Yonggang and Zhang Dengfeng from the Kunming Institute of Zoology, Chinese Academy of Sciences, provides new insights into the cellular and molecular pathological changes in the choroid plexus of Alzheimer's disease mice during the early stages of the disease, potentially aiding in the development of early intervention strategies for Alzheimer's disease [1][2] Group 1: Research Findings - The study constructed a single-cell transcriptome map related to the choroid plexus in Alzheimer's disease for the first time, elucidating the cellular and molecular pathological changes in the early stages of the disease [2] - The choroid plexus is composed of various cell types, with epithelial cells accounting for approximately 75% of the total cell population [2] - The permeability of choroid plexus epithelial cells in Alzheimer's disease mice was found to be increased, indicating a compromised barrier function [2] Group 2: Immune Response - The choroid plexus contains multiple myeloid and lymphoid immune cell subpopulations, with some lymphocytes, macrophages, and dendritic cell subpopulations expressing proliferation signals, suggesting a "lymph node-like" proliferation of immune cells in situ [2] - Downregulation of macrophage migration inhibitory factor expression in the choroid plexus epithelial cells of Alzheimer's disease mice leads to disrupted immune cell communication and macrophage activation [2] Group 3: Gender Differences - The study identified significant gender differences in the gene expression profile of the choroid plexus, providing data support for future research on the pathological mechanisms and interventions related to gender differences in Alzheimer's disease [2]

Group 1 - The core viewpoint of the article emphasizes the shift from a "thesis-only" evaluation system to a more diverse assessment mechanism for graduate degrees, allowing practical achievements to be recognized alongside traditional theses [1][2] - Several universities, including Shandong University and Tianjin University, have begun to implement this new approach, reflecting a broader trend in higher education towards valuing practical skills and real-world applications [1][2] - The new degree law, effective from January 1, allows for "specified practical achievements" to be considered equally with "thesis" for degree conferral, signaling a significant change in talent cultivation [1][2] Group 2 - The move to break the "thesis-only" model is seen as beneficial for students, universities, and society, promoting the development of problem-solving skills, enhancing industry-academia collaboration, and producing professionals capable of driving technological innovation [2][3] - Concerns about potential dilution of academic standards are addressed by highlighting that practical achievements must still meet rigorous evaluation criteria, ensuring that the quality of graduates remains high [2] - The goal of this initiative is to foster innovation and creativity among students, encouraging a more holistic educational approach that aligns with contemporary societal needs [3]

Core Viewpoint - The article highlights the advancements in smart agricultural machinery and the implementation of fully automated production systems for crops, showcasing the integration of technology in agriculture to enhance efficiency and productivity [1][2] Group 1: Smart Agricultural Machinery - A demonstration event featuring over 20 smart agricultural machines was held in Beijing, showcasing a complete intelligent production chain for wheat, corn, and vegetables [1] - The team led by Academician Zhao Chunjiang has developed key technologies for unmanned production, achieving a path tracking error of ±2.0 cm and a corn sowing distance qualification index exceeding 95% [1] Group 2: Cloud Management Platform - The smart farm management cloud platform developed by the team integrates intelligent decision-making, remote monitoring, and multi-machine collaboration, resulting in over 30% savings in labor costs and more than 20% increase in machine utilization [1] - The platform also contributes to a 30% reduction in fertilizer and pesticide inputs and improves land utilization by 1% to 2% [1] Group 3: Vegetable Production System - The team has created a fully domestic unmanned production system for open-field vegetables, achieving continuous unmanned operations from tillage to harvesting for major crops like cabbage, peppers, and carrots [2] - Multiple unmanned farms have been established in various regions, serving as models for smart agriculture across the country [2] Group 4: Operational Scale and Impact - The operational cloud service platform has expanded its reach to 31 provinces, 795 counties, covering 6,464 cooperatives and 133 state-owned farms, with over 100,000 intelligent agricultural terminals promoted [2] - The total monitored service area has reached 220 million acres [2]

Core Viewpoint - The launch of China's first trillion-level power generation industry model, "Qingyuan," marks a significant advancement in the energy sector, aiming to lead the industry towards intelligence and digitalization [1][2]. Group 1: Model Overview - "Qingyuan" is developed by the State Power Investment Corporation and encompasses 15 business domains and 75 key application scenarios, integrating various aspects of power generation including construction, operation, maintenance, and fuel management [1]. - The model aims to leverage AI and big data to reshape the energy industry, utilizing the vast data assets of the State Power Investment Corporation, which is the largest power generation company globally [1]. Group 2: Innovations and Features - "Qingyuan" introduces three major innovations, including a multi-energy collaborative dynamic optimization engine that integrates operational monitoring, equipment status, and environmental data [2]. - The model features a full-stack product approach, allowing efficient collaboration among different business intelligent agents, and provides intelligent optimization solutions for the entire power generation process [2]. - It establishes a fully autonomous and controllable intelligent decision-making system based on domestic technology, utilizing reinforcement learning and multi-modal fusion methods [2]. Group 3: Application and Impact - Currently, "Qingyuan" has been successfully applied in various business areas such as safety and environmental protection, power trading, and equipment maintenance, covering 13 scenarios and deploying 41 intelligent agents [2]. - The model addresses long-standing challenges in the power generation industry, including high safety risks, complex multi-energy coordination, and passive equipment maintenance, thereby supporting safe, efficient, green, and intelligent power generation [2].